Journal
TECHNOMETRICS
Volume 48, Issue 3, Pages 432-435Publisher
TAYLOR & FRANCIS INC
DOI: 10.1198/004017005000000661
Keywords
contextual effects; hierarchical model; multilevel regression
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Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in which regression coefficients are themselves given a model, whose parameters are also estimated from data. We illustrate the strengths and limitations of multilevel modeling through an example of the prediction of home radon levels in U.S. counties. The multilevel model is highly effective for predictions at both levels of the model, but could easily be misinterpreted for causal inference.
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